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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 7469
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    Explanations

    words related to giving or presenting something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a call to action or an invitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gie
    -0.75
    GoldMagikarp
    -0.73
    NetMessage
    -0.71
    ciation
    -0.68
    rade
    -0.67
     Ern
    -0.65
    ependence
    -0.64
     Corker
    -0.63
    etheless
    -0.63
     paw
    -0.61
    POSITIVE LOGITS
     Torrent
    0.64
    casts
    0.62
    fix
    0.62
     mines
    0.60
    Wan
    0.60
     Juno
    0.59
    acker
    0.58
     prod
    0.58
     lowly
    0.57
     maker
    0.56
    Activations Density 0.000%

    No Known Activations